Deep Isolation Forest for Anomaly Detection
Isolation forest (iForest) has been emerging as arguably the most popular anomaly detector in recent years due to its general effectiveness across different benchmarks and strong scalability. Nevertheless, its linear axis-parallel isolation method often leads to (i) failure in detecting hard anomali...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE Computer Society
2023
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |